PAPER PRESENTATION
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| Paper Session B1–Rehabilitation Technology Rm 3.2 Day 1 – 23 April 2009 (THURSDAY) 8:30AM – 10:30AM |
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| Session | Description |
| 8:30AM – 8:45AM | B1–1 An Affordable, Computerized, Table-based Exercise System for Stroke Survivors Marcus King, Leigh Hale*, Anna Pekkari**, Martin Persson** Industrial Research Ltd, New Zealand *University of Otago, New Zealand **Uemå University, Sweden Abstract
Loss of hand function as a result of upper limb paresis after a stroke leads to a loss of independence and the strength of the paretic upper limb is strongly related to measures of activity. Robotic-assisted therapy with virtual reality, leads to improvements in motor function, but, there is a need to improve the cost-to-benefit ratio of these therapies. This case series study investigated an augmented reality computer game which provided a rewarded, goal-directed task to upper limb rehabilitation via a reaching task motivated by a computer game. A device was developed to increase the exercise effort for the table-based therapy. Of the 4 participants in the case study, 2 showed improvement in ability to play the game and in arm function. Participants felt that the system provided a worthwhile exercise that they would carry out in a home rehabilitation setting. Full text: PDF (213 kB) |
| 8:45AM – 9:00AM | B1–2 Computer Vision Technologies for Monitoring System in Tele-Physiotherapy Panachit Kittipanya-ngam, Xinguo Yu, How Lung Eng Institute for Infocomm Research, Singapore Abstract
Physiotherapay exercise is a vital medical treatment process as it helps bringing a normal life back to patients. However due to the requirements of time spent and interactions with medical specialists such as doctors, therapists, and nurses, patients have to deal with some difficulties such as time and cost of travelling, waiting for availability of specialists and ineffective personal exercises. These difficulties could cause worse on those patients living in the areas distant from medical centres or lacking of medical staffs and experts. Therefore the concept of tele-physiotherapy was created to improve the quality of physiotherapy services. The objective of tele-physiotherapy is to allow patients and medical experts carrying on their sessions through telecommunication networks as if they are in the same place. Computer vision technologies, then, can be useful and helpful in monitoring process of system because the quality assessments of physiotherapy exercise are mainly based on vision. This article is discussing the feasibility of applying computer vision technolgies in tele-physiotherapy while showing an example of using computer vision in fall detection. The study shows that computer vision has some potential in enhancing and improving the telephysiotherapy system but the study of some considerations is needed before implementing. Full text: PDF (116 kB) |
| 9:00AM – 9:15AM | B1–3 Design of a Myoelectric Glove for Upper Limb Stroke Rehabilitation Sangit Sasidhar, Sanjib Kumar Panda, Jianxin Xu National University of Singapore, Singapore Abstract
Physiotherapy is an inherent component of stroke rehabilitation. It is important for the patient to be self motivated in physiotherapy sessions for a better and faster recovery. This paper presents a simple design of an orthotic glove which will be controlled by the myoelectric signals of the stroke patient. A real time control scheme using a linear discriminant classifier is used to process and classify the myoelectric signals acquired from different muscle groups. These control signals are used to actuate servo motors to facilitate elbow movement. A position and velocity sensor ensures that there are no sudden movements or jerks in the movement path of the orthotic glove. Full text: PDF (115 kB) |
| 9:15AM – 9:30AM | B1–4 A Method for Measuring Human Arm's Mechanical Impedance for Assessment of Motor Rehabilitation Hossein Mousavi Hondori, Shih Fu Ling Nanyang Technological University, Singapore Abstract
This research work aims to develop a new tool for assessment of human motor function with a focus on the upper limb. For that purpose, Simultaneous Sensing cum Actuating technology (SSA) will be used for measuring force, velocity, and especially mechanical impedance of the limb. Impedance measured at the hand point while the upper limb performing a motion task is a quality indicator of the limb's motor function. Conventional method of measuring mechanical impedance which requires a force and a motion sensor mounting on fixed base points is not applicable here. This method overcomes the difficulty. Here an electrical motor is used as sensor-actuator which carries a mechanical load (here human's limb); the motor plays the role of a sensor as well, so we calibrate the "transduction matrix" of the motor and will measure the mechanical impedance of the load through measuring the electrical impedance of the electrical motor. In this paper we explain how the appropriate apparatus was designed and tailored for this application and how the method was validated. At the end experimental result of measuring mechanical impedance of a human subject is presented. Full text: PDF (220 kB) |
| 9:30AM – 9:45AM | B1–5 Improving Performance of Asynchronous BCI by Using a Collection of Overlapping Sub Window Models Nakarin Suppakun, Songrit Maneewongvatana King Mongkut's University of Technology Thonburi, Thailand Abstract
Asynchronous Brain Computer Interface (BCI) has become an interesting topic in the present days because it provides the simulation of realistic usage of BCI. For asynchronous BCI, the computer has to discriminate not only differences among various imaginary tasks but also detect of relax period. Since the training phase for building a classification model is still synchronous (cuebased), the main challenge is to classify the EEG signal continuously with good accuracy on asynchronous (uncue-based). This paper addresses on achieving to better performance by using a collection of overlapping sub windows models. A model is referred to a primitive classification model which consists of common spatial patterns (CSP) with linear discriminant analysis (LDA). Each primitive model was trained with the corresponding sub window indexes. We had 3 collections of models: task1 vs. task2, task1 vs. relax, and task2 vs. relax. These binary classification results were then fused together with Mahalanobis distance to gain better performance. The results were measured by mean square error (MSE), and their performance is better compared to the primitive model. Furthermore, the results on the test set were achieved comparable to the 3 leading scores of BCI Competition IV dataset 1. Full text: PDF (56 kB) |
| 9:45AM – 10:00AM | B1–6 Exercises for Rehabilitation and Assessment of Hand Motor Function with the Haptic Knob Olivier Lambercy, Ludovic Dovat, Teo Chee Leong, Hong Yun*, Seng Kwee Wee*, Christopher Kuah, Karen Chua*, Roger Gassert**, Theodore Milner***, Etienne Burdet**** National University of Singapore, Singapore *Tan Tock Seng Hospital, Singapore **ETH Zurich, Switzerland *** McGill University, Canada ****Imperial College, London, United Kingdom Abstract
This paper investigates robot-assisted rehabilitation and assessment of hand function after stroke using the Haptic Knob, a 2 degrees-of-freedom end-effector based robotic device to train grasping and wrist pronation/supination.Nine chronic stroke subjects trained over a period of 6 weeks, with 3 one-hour sessions of robot-assisted therapy per week, consisting in two exercises requiring active participation promoted by therapeutic games. Behavioral data collected by the Haptic Knob were analyzed to evaluate motion control, smoothness and precision over the therapy. Subjects progressively improved their performances in the proposed functional exercises, suggesting improvement in hand motor function. This was confirmed by results of standard clinical assessment as subjects improved a mean of 4.3 points in the Fugl-Meyer assessment scale, accompanied by a decrease in spasticity. These results illustrate the positive effect of therapy with the Haptic Knob and the possibility to use it as an assessment tool to evaluate and monitor hand motor function during rehabilitation therapy. Full text: PDF (617 kB) |
| 10:00AM – 10:15AM | B1–7 Interactive Robot-Assisted Training System using continuous EMG signals for Stroke Rehabilitation Raymond K. Y. Tong, Wallace W. F. Leung, X. L. Hu, R. Song The Hong Kong Polytechnic University, Hong Kong Abstract
Active initiation and participation in the rehabilitation is a key of success for stroke rehabilitation. To patients with stroke, the interactive robotic system would motivate them to actively interact with the system during the task-related training regime. The system used muscle activation from affected limbs as control signal. The system was designed to train the wrist, elbow, knee and ankle joints in vertical and horizontal positions. Results from wrist and elbow training on persons after stroke had shown improvement in reduced spasticity on the joint, better coordination on the wrist and elbow joints. Full text: PDF (102 kB) |
| 10:15AM – 10:30AM | B1–8 Leveraging Retained Physical Capabilities to Support Persons with Severe Motor Impairments Torsten Felzer, Rainer Nordmann Darmstadt University of Technology, Germany Abstract
This paper deals with two novel applications of an alternative method of interacting with a computer which enables persons with very severe motor impairments to leverage retained capabilities in order to independently control certain parts of their daily lives. The input strategy is based on tiny intentional contractions of a single muscle of choice (requiring a minimum of physical contribution only) which are used as "selection marker" in the context of *scanning*. The first application turns the PC into a *Universal Remote Control* (URC), while the second one is a *Text-To-Speech* (TTS) module. A simple experiment requesting the speed of the scanning scheme shows that the theoretical concept really works and that it therefore has the potential of being of great help for its target population. Full text: PDF (126 kB) |
| – | B1–9 Analysis and Comparison of Intelligent Control Methods for Computer-controlled Artificial Leg Hong-liu Yu, Xing-san Qian, Ling Shen University of Shanghai for Science and Technology, China Abstract
The computer-controlled artificial legs, most of which are above-knee prostheses (AKP) can better adapt to the human gait and walking modes, automatically distinguishing terrain and coordinate the symmetry of gait. Due to the complexity and non-linearity of AKP control, it is required to design a kind of controller being intelligent enough for it. Research and product development of computer-controlled AKP is comprehensively discussed in the paper. The expert controller based on finite-state machine method and BP neural network controllers based on PD supervision are especially analyzed. The major intelligent control methods applied for existing AKP products are also compared with each other here. The development of intelligent control technology in the future is pointed out. Full text: PDF (169 kB) |